Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
OriginBlame: Record- and Token-Level Data Provenance for AI Training Datasets
arXiv:2607.13037v1 Announce Type: new Abstract: When a data contributor requests removal, model trainers face a practical gap: unlearning algorithms require…
Hallo4D: Multi-Modal Hallucination Mitigation for Consistent Spatio-Temporal Generation
arXiv:2607.12752v2 Announce Type: replace-cross Abstract: While recent advances in 3D generation have enabled impressive visual synthesis, existing methods often rely…
From Prediction to Collaboration: Interactive Symbolic Music Analysis
arXiv:2607.13587v1 Announce Type: cross Abstract: Automatic symbolic music analysis has made substantial progress, yet existing systems are typically designed for…
Agile perceptive multi-skill locomotion for quadrupedal robots in the wild
arXiv:2607.13579v1 Announce Type: cross Abstract: Enabling quadrupedal robots to traverse complex terrains-from rugged outdoor environments to urban landscapes-requires seamless integration…
Are we Merging the Right Models? Impact of Expert Training Duration on Model Merging for LLMs
arXiv:2607.11997v2 Announce Type: replace-cross Abstract: Multi-task model merging combines separately trained expert models into a single model that handles all…
Optimal Adaptive Market Making: A Theoretical Framework for High-Yield Liquidity Provision in Perpetual Futures Markets
arXiv:2607.11888v1 Announce Type: new Abstract: We develop a rigorous theoretical framework for optimal market making in perpetual futures markets with…
Invariant Learning Dynamics of Transformers in Inductive Reasoning Tasks
arXiv:2607.11875v2 Announce Type: replace-cross Abstract: We present a theoretical framework to explain the emergence of inductive reasoning abilities in Transformer…
Can Induced Emotion Bias LLM Behaviors in Sequential Decision Making?
arXiv:2607.12631v1 Announce Type: cross Abstract: As Large Language Models (LLMs) are increasingly deployed as autonomous agents in high-stakes domains, understanding…
Multi-Perspective Agentic Program Repair via Code Property Graphs and Temporal Execution Graphs
arXiv:2607.12605v1 Announce Type: cross Abstract: Large language models (LLMs) have improved automated program repair (APR), but two limitations remain. First,…
An Empirical Study for Android-to-OpenHarmony GUI Test Migration
arXiv:2607.11245v2 Announce Type: replace-cross Abstract: To reduce the substantial engineering effort required to test the corresponding applications from Android to…